University of Sussex
Browse
Multiple energy carrier optimisation with intelligent agents R1_not-marked.pdf (983.72 kB)

Multiple energy carrier optimisation with intelligent agents

Download (983.72 kB)
journal contribution
posted on 2023-06-08, 23:05 authored by Spyros Skarvelis-KazakosSpyros Skarvelis-Kazakos, Panagiotis Papadopoulos, Iñaki Grau Unda, Terry Gorman, Abdelhafid Belaidi, Stefan Zigan
Multiple energy carrier systems stem from the need to evolve traditional electricity, gas and other energy systems to more efficient, integrated energy systems. An approach is presented, for controlling multiple energy carriers, including electricity (AC or DC), heat, natural gas and hydrogen, with the objective to minimise the overall cost and/or emissions, while adhering to technical and commercial constraints, such as network limits and market contracts. The technique of multi-agent systems (MAS) was used. The benefits of this approach are discussed and include a reduction of more than 50% in the balancing costs of a potential deviation. An implementation of this methodology is also presented. In order to validate the operation of the developed system, a number of experiments were performed using both software and hardware. The results validated the efficient operation of the developed system, proving its ability to optimise the operation of multiple energy carrier inputs within the context of an energy hub, using a hierarchical multi-agent system control structure.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Applied Energy

ISSN

0306-2619

Publisher

Elsevier

Volume

167

Page range

323-335

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2015-12-14

First Open Access (FOA) Date

2017-04-01

First Compliant Deposit (FCD) Date

2015-12-14

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC